518 citations · 933 across the 11 of their papers we have counts for
11 papers
MLSys: The New Frontier of Machine Learning Systems
Alexander Ratner, Dan Alistarh, Gustavo Alonso +66
Machine learning (ML) techniques are enjoying rapidly increasing adoption. However, designing and implementing the systems that support ML models in real-world deployments remains…
Achieving Fluency and Coherency in Task-oriented Dialog
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
We consider real world task-oriented dialog settings, where agents need to generate both fluent natural language responses and correct external actions like database queries and up…
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient
Li Zhou, Kevin Small, Oleg Rokhlenko +1
Learning a goal-oriented dialog policy is generally performed offline with supervised learning algorithms or online with reinforcement learning (RL). Additionally, as companies acc…
Visualizing the Consequences of Evidence in Bayesian Networks
Clifford Champion, Charles Elkan
This paper addresses the challenge of viewing and navigating Bayesian networks as their structural size and complexity grow. Starting with a review of the state of the art of visua…
Predicting Surgery Duration with Neural Heteroscedastic Regression
Nathan Ng, Rodney A Gabriel, Julian McAuley +2
Scheduling surgeries is a challenging task due to the fundamental uncertainty of the clinical environment, as well as the risks and costs associated with under- and over-booking. W…
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary C. Lipton, David C. Kale, Charles Elkan +1
Clinical medical data, especially in the intensive care unit (ICU), consist of multivariate time series of observations. For each patient visit (or episode), sensor data and lab te…